Testing for simultaneous jumps in case of asynchronous observations
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Publication:1750093
DOI10.3150/17-BEJ968zbMath1415.62040arXiv1606.07246MaRDI QIDQ1750093
Publication date: 18 May 2018
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1606.07246
central limit theoremstable convergenceasynchronous observationscommon jumpsItô semimartingalehigh-frequency statisticsbivariate Itô semimartingale
Hypothesis testing in multivariate analysis (62H15) Central limit and other weak theorems (60F05) Generalizations of martingales (60G48) Stochastic integrals (60H05)
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Laws of large numbers for Hayashi-Yoshida-type functionals ⋮ Asymptotic properties of the realized skewness and related statistics
Cites Work
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- A note on central limit theorems for quadratic variation in case of endogenous observation times
- Discretization of processes.
- Central limit theorems for realized volatility under hitting times of an irregular grid
- Nonsynchronous covariation process and limit theorems
- Do price and volatility jump together?
- Testing for jumps in a discretely observed process
- Asymptotic normality of a covariance estimator for nonsynchronously observed diffusion processes
- Asymptotic error distributions for the Euler method for stochastic differential equations
- On covariance estimation of non-synchronously observed diffusion processes
- Irregular sampling and central limit theorems for power variations: the continuous case
- Econometrics of co-jumps in high-frequency data with noise
- Estimating the quadratic covariation of an asynchronously observed semimartingale with jumps
- Testing for common arrivals of jumps for discretely observed multidimensional processes
- Asymptotic properties of realized power variations and related functionals of semimartingales
- Volatility Jumps
- IDENTIFYING THE BROWNIAN COVARIATION FROM THE CO-JUMPS GIVEN DISCRETE OBSERVATIONS
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